Prediction of fault seal involves the evaluation of a mutli-component system where it is unusual for the variables to be defined in detail. Successful workflows require amalgamation of data from a range of sources and careful evaluation of the associated uncertainties. Definition of the uncertainty ranges and distribution types, for the different required inputs is essential for robust and realistic prediction. We will review; a) the need to constrain the geometrical uncertainties associated with mapping structures and predicting sedimentary architectures in geo-models, and b) the importance of defining the geo-settings and geohistories for fault property assessment.


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